Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Pekommas Jurnas Nasional Teknologi dan Sistem Informasi
Taulu, Angelica
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Sebuah Jalur Hidup Digital: Penerimaan Pengguna Terhadap Aplikasi Deteksi Penyakit Jantung Koroner Wikarsa, Liza; Sanger, Junaidy; Taulu, Angelica
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5826

Abstract

Cardiovascular disease, especially coronary heart disease (CHD), is the leading cause of death globally, with Indonesia, particularly North Sulawesi, experiencing significant prevalence due to unhealthy lifestyles. This study aims to assess the adoption and utilization of an early detection application for CHD among residents of the Spiritual Region of the Sacred Heart of Mary Cathedral Parish in Manado. It also seeks to identify opportunities for enhancing user experiences with the application using the Technology Acceptance Model (TAM). TAM includes constructs like perceived usefulness (PU), perceived ease of use (PEU), attitude towards use (ATU), behavioral intention to use (BIU), actual system use (ASU), and three external variables: information quality (PUIQ), service quality (PEUSVQ), and system quality (PEUSQ). This study uses the Partial Least Square (PLS) approach for data analysis. The results confirmed that all measures effectively assess their intended constructs. Strong correlations among the constructs demonstrate solid internal consistency. Regarding reliability, all constructs demonstrate acceptable consistency
Improving Coronary Heart Disease Detection Using K-Means Clustering Techniques Sanger, Junaidy; Wikarsa, Liza; Taulu, Angelica
Jurnal Nasional Teknologi dan Sistem Informasi Vol 11 No 2 (2025): Agustus 2025
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v11i2.2025.107-117

Abstract

The heart is a crucial organ in the cardiovascular system, playing a key role in blood circulation and supplying oxygen and nutrients to the body. Cardiovascular diseases, particularly coronary heart disease (CHD), are the leading cause of death worldwide. In Indonesia, especially in North Sulawesi, the high prevalence of CHD is indicative of the effects of an unhealthy lifestyle. This study employs the K-Means clustering method to identify the early risk of CHD based on eight common symptoms, including chest pain, nausea, shortness of breath, heartburn, a history of hypertension, obesity, diabetes, and genetics. This innovative approach integrates these early warning signs and categorizes the risk into three groups: low CHD risk (C1), moderate CHD risk (C2), and high CHD risk (C3). The detection results are provided based on responses collected through a questionnaire within an application, aiming to raise awareness of CHD and encourage users to seek further health evaluations and adopt healthier lifestyles.
Co-Authors Sanger, Junaidy Wikarsa, Liza